Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)

The Research on the Precision Funding Work of Higher Vocational Colleges under the Environment of Big Data

Authors
Xiaoyan Yan, Shu Sun, Xiaoshuang Xue
Corresponding Author
Xiaoyan Yan
Available Online June 2018.
DOI
https://doi.org/10.2991/icmess-18.2018.155How to use a DOI?
Keywords
Student funding; Big data platform; Higher vocational colleges; Work-study program
Abstract
Precision funding is an inevitable requirement for the development of university funding, and it is also the performance of the credibility of the country and school. The traditional funding identification work has some problems, such as insufficient coverage, difficult identification and poor educational effect. “Big data platform” and “smart campus” can effectively promote the precision identification and precision help of poor students and prevent online fraud. At the same time, a work-study platform is combined to promote students’ support from blood transfusion to hematopoietic transformation, and enhance students’ self-consciousness.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
978-94-6252-520-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/icmess-18.2018.155How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoyan Yan
AU  - Shu Sun
AU  - Xiaoshuang Xue
PY  - 2018/06
DA  - 2018/06
TI  - The Research on the Precision Funding Work of Higher Vocational Colleges under the Environment of Big Data
BT  - 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
PB  - Atlantis Press
SP  - 704
EP  - 707
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-18.2018.155
DO  - https://doi.org/10.2991/icmess-18.2018.155
ID  - Yan2018/06
ER  -